42:52
Multivariate Methods - Machine Learning - Spring 2016 - Professor Kogan
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53:24
Graphical Models - Machine Learning - Spring 2016 - Professor Kogan
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Linear Discrimination P3 - Machine Learning - Spring 2016 - Professor Kogan
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Linear Discrimination P2 - Machine Learning - Spring 2016 - Professor Kogan
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Multilayer Perceptrons - Machine Learning - Spring 2016 - Professor Kogan
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1:20:06
D&A of Machine Learning Experiments (cont.) - Machine Learning - Spring 2016 - Professor Kogan
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16:27
Dimensionality Reduction (continued) - Machine Learning - Spring 2016 - Professor Kogan
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1:09:03
Clustering (Continued) - Machine Learning - Spring 2016 - Professor Kogan
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Bayesian Estimation - Machine Learning - Spring 2016 - Professor Kogan
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Computational Project Proposal Student Alrefai - Machine Learning - Spring 2016 - Professor Kogan
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Computational Project Proposal Student AlQassar - Machine Learning - Spring 2016 - Professor Kogan
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1:26:49
Clustering - Machine Learning - Spring 2016 - Professor Kogan
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28:02
Kernel Machines - Machine Learning - Spring 2016 - Professor Kogan
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1:17:40
Linear Discrimination - Machine Learning - Spring 2016 - Professor Kogan
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Computational Project Proposal Student Liu - Machine Learning - Spring 2016 - Professor Kogan
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59:28
Decision Trees - Machine Learning - Spring 2016 - Professor Kogan
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1:35:37
Multilayer Perceptrons (continued) - Machine Learning - Spring 2016 - Professor Kogan
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1:21:31
Dimensionality Reduction - Machine Learning - Spring 2016 - Professor Kogan
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